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Physiological time-series investigations of cardiovascular regulation in healthy young adults during physical exercise. / Andrew Lewis Short

Swansea University Author: Andrew Lewis Short

Abstract

Physiological parameters may be recorded non-invasively to gain information on cardiovascular function which can then characterise populations with various pathologies. Physical exercise produces specific autonomic nervous system (ANS) changes. There has been no comprehensive profiling of cardiovasc...

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Published: 2009
Institution: Swansea University
Degree level: Doctoral
Degree name: Ph.D
URI: https://cronfa.swan.ac.uk/Record/cronfa42374
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first_indexed 2018-08-02T18:54:33Z
last_indexed 2018-08-03T10:09:59Z
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spelling 2018-08-02T16:24:29.0101898 v2 42374 2018-08-02 Physiological time-series investigations of cardiovascular regulation in healthy young adults during physical exercise. 7c70f0b0c04956571902885f57042068 NULL Andrew Lewis Short Andrew Lewis Short true true 2018-08-02 Physiological parameters may be recorded non-invasively to gain information on cardiovascular function which can then characterise populations with various pathologies. Physical exercise produces specific autonomic nervous system (ANS) changes. There has been no comprehensive profiling of cardiovascular function during exercise or simultaneous characterisation of the influence of exercise on cardiac ventricular function and electrical activity. This work aims to address that, using a combination of physiological parameters. Between-lead agreement for ambulatory electrocardiographic (EGG) depolarisation-repolarisation (QT) interval was quantified during rest and exercise. In contrast to cardiac interval (RR) data, between-lead bias and limits of agreement for QT interval data should be quantified when reporting results from an ambulatory EGG system and between-gender QT differences should also be accounted for. EGG electrode location appears to significantly affect QT-RR hysteresis, the shortening of the post-exercise QT interval relative to that at similar heart rates during exercise or pre-exercise rest, further emphasising the need for standardisation of EGG electrode placement. Sample entropy (SampEn) measures data complexity. Few studies have compared SampEn of RR data (SampEn-RR) during exercise, whilst none have examined SampEn for the corresponding QT interval (SampEn-QT). Fractal analysis assesses data correlation and scaling structures. Detrended fluctuation analysis (DFA) provides a scaling exponent (a) which describes these properties. This has not been quantified for RR interval data during post-exercise recovery and has not been reported for QT interval data. Differences in a magnitudes for RR and QT data suggest that these quantities have different fractal properties. Exercise perturbs the resting QT-RR relationship via hysteresis. The QT variability index (QTVI) quantifies the relative autonomic influence on the atrial and ventricular myocardium during rest and exercise. QTVI is a consistent measure of cardiac ventricular function and as such appears to be a more useful index than other parameters based on RR or QT interval alone. E-Thesis Kinesiology. 31 12 2009 2009-12-31 COLLEGE NANME Engineering COLLEGE CODE Swansea University Doctoral Ph.D 2018-08-02T16:24:29.0101898 2018-08-02T16:24:29.0101898 Faculty of Science and Engineering School of Engineering and Applied Sciences - Uncategorised Andrew Lewis Short NULL 1 0042374-02082018162449.pdf 10798082.pdf 2018-08-02T16:24:49.4000000 Output 15165896 application/pdf E-Thesis true 2018-08-02T16:24:49.4000000 false
title Physiological time-series investigations of cardiovascular regulation in healthy young adults during physical exercise.
spellingShingle Physiological time-series investigations of cardiovascular regulation in healthy young adults during physical exercise.
Andrew Lewis Short
title_short Physiological time-series investigations of cardiovascular regulation in healthy young adults during physical exercise.
title_full Physiological time-series investigations of cardiovascular regulation in healthy young adults during physical exercise.
title_fullStr Physiological time-series investigations of cardiovascular regulation in healthy young adults during physical exercise.
title_full_unstemmed Physiological time-series investigations of cardiovascular regulation in healthy young adults during physical exercise.
title_sort Physiological time-series investigations of cardiovascular regulation in healthy young adults during physical exercise.
author_id_str_mv 7c70f0b0c04956571902885f57042068
author_id_fullname_str_mv 7c70f0b0c04956571902885f57042068_***_Andrew Lewis Short
author Andrew Lewis Short
author2 Andrew Lewis Short
format E-Thesis
publishDate 2009
institution Swansea University
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Engineering and Applied Sciences - Uncategorised{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Engineering and Applied Sciences - Uncategorised
document_store_str 1
active_str 0
description Physiological parameters may be recorded non-invasively to gain information on cardiovascular function which can then characterise populations with various pathologies. Physical exercise produces specific autonomic nervous system (ANS) changes. There has been no comprehensive profiling of cardiovascular function during exercise or simultaneous characterisation of the influence of exercise on cardiac ventricular function and electrical activity. This work aims to address that, using a combination of physiological parameters. Between-lead agreement for ambulatory electrocardiographic (EGG) depolarisation-repolarisation (QT) interval was quantified during rest and exercise. In contrast to cardiac interval (RR) data, between-lead bias and limits of agreement for QT interval data should be quantified when reporting results from an ambulatory EGG system and between-gender QT differences should also be accounted for. EGG electrode location appears to significantly affect QT-RR hysteresis, the shortening of the post-exercise QT interval relative to that at similar heart rates during exercise or pre-exercise rest, further emphasising the need for standardisation of EGG electrode placement. Sample entropy (SampEn) measures data complexity. Few studies have compared SampEn of RR data (SampEn-RR) during exercise, whilst none have examined SampEn for the corresponding QT interval (SampEn-QT). Fractal analysis assesses data correlation and scaling structures. Detrended fluctuation analysis (DFA) provides a scaling exponent (a) which describes these properties. This has not been quantified for RR interval data during post-exercise recovery and has not been reported for QT interval data. Differences in a magnitudes for RR and QT data suggest that these quantities have different fractal properties. Exercise perturbs the resting QT-RR relationship via hysteresis. The QT variability index (QTVI) quantifies the relative autonomic influence on the atrial and ventricular myocardium during rest and exercise. QTVI is a consistent measure of cardiac ventricular function and as such appears to be a more useful index than other parameters based on RR or QT interval alone.
published_date 2009-12-31T03:52:50Z
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score 11.012924

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